Files
aws-lambda-container/billinglayer/python/shapely/decorators.py
2023-08-24 17:49:47 -05:00

83 lines
2.5 KiB
Python

import os
from functools import wraps
import numpy as np
from . import lib
from .errors import UnsupportedGEOSVersionError
class requires_geos:
def __init__(self, version):
if version.count(".") != 2:
raise ValueError("Version must be <major>.<minor>.<patch> format")
self.version = tuple(int(x) for x in version.split("."))
def __call__(self, func):
is_compatible = lib.geos_version >= self.version
is_doc_build = os.environ.get("SPHINX_DOC_BUILD") == "1" # set in docs/conf.py
if is_compatible and not is_doc_build:
return func # return directly, do not change the docstring
msg = "'{}' requires at least GEOS {}.{}.{}.".format(
func.__name__, *self.version
)
if is_compatible:
@wraps(func)
def wrapped(*args, **kwargs):
return func(*args, **kwargs)
else:
@wraps(func)
def wrapped(*args, **kwargs):
raise UnsupportedGEOSVersionError(msg)
doc = wrapped.__doc__
if doc:
# Insert the message at the first double newline
position = doc.find("\n\n") + 2
# Figure out the indentation level
indent = 2
while True:
if doc[position + indent] == " ":
indent += 1
else:
break
wrapped.__doc__ = doc.replace(
"\n\n", "\n\n{}.. note:: {}\n\n".format(" " * indent, msg), 1
)
return wrapped
def multithreading_enabled(func):
"""Prepare multithreading by setting the writable flags of object type
ndarrays to False.
NB: multithreading also requires the GIL to be released, which is done in
the C extension (ufuncs.c)."""
@wraps(func)
def wrapped(*args, **kwargs):
array_args = [
arg for arg in args if isinstance(arg, np.ndarray) and arg.dtype == object
] + [
arg
for name, arg in kwargs.items()
if name not in {"where", "out"}
and isinstance(arg, np.ndarray)
and arg.dtype == object
]
old_flags = [arr.flags.writeable for arr in array_args]
try:
for arr in array_args:
arr.flags.writeable = False
return func(*args, **kwargs)
finally:
for arr, old_flag in zip(array_args, old_flags):
arr.flags.writeable = old_flag
return wrapped